“Most of the world will make decisions by either guessing or using their gut. They will be either lucky or wrong.”
– Suhail Doshi, CEO, Mixpanel
Data literacy is “the ability to read, work with, analyze, and argue with data.” To be proficient working with data, you need to first have a data-driven mindset. You need to be able to speak the language of data.
This straddles roles, levels, and industries. Gartner has identified poor data literacy as a top roadblock to success for most organizations. And 76% of business decision-makers rate their own data literacy skills poorly! And poor data literacy affects people’s ability to read and understand charts and data, as well as their ability to analyze and communicate with data. No matter which side of the table you’re on, you need these skills.
In this class, you’ll learn to first think differently about data – from a skeptical standpoint, armed with some specific things to look out for when reading or creating data analytics outputs. Second, you’ll learn some basic data analytics skills, including introductory statistical concepts (but don’t worry, this isn’t “math class”!!) and some hands-on skills doing analysis using Excel. We will explore some of the pitfalls in data analysis, like sample size and data quality issues, as well as cognitive biases.
You will learn through case examples and hands-on exercises where you get to explore some data and discover insights for yourself.
This class can be combined with the data storytelling and visualization workshop to bring it all together – thinking critically about data, finding insights in data, and then communicating and persuading or informing an audience with that data.
This workshop is geared toward helping those who are working with data every day but haven’t been trained in statistical analysis or data science. Attendees may be in just about any role, at any level, in any vertical. Everyone works with data these days, but most of us don’t have much formal training in data analytics and literacy. This is for the average person who needs to upskill their data analytics game. Think of it as a “Data Analytics 101” class.